DevOps / Cloud Infrastructure Engineer

A rapidly expanding digital health company is dedicated to transforming cardiovascular care and tackling hypertension through innovative, evidence-based technology. Its platform enables users to better monitor, understand, and improve their heart health — addressing one of the world's most critical health challenges. 

The company's goal is to help people take control of their wellbeing through digital therapeutics, supporting healthier and longer lives. The solution is delivered through employers and healthcare providers in a B2B2C model, partnering with major enterprise organizations. Backed by leading investors, the company has seen significant growth across both revenue and customer adoption in recent years.

As the company continues to scale, this role will lead infrastructure-focused projects and improvements, being instrumental in designing, optimizing, and securing production environments while driving scalability, system reliability, and operational excellence.

• Architect, implement, and maintain scalable cloud infrastructure for production environments
• Build and support machine learning infrastructure, including data lake and pipeline solutions
• Enhance deployment workflows and automate processes as part of a modern CI/CD strategy
• Operate, secure, and scale Kafka clusters deployed on Kubernetes
• Collaborate with engineering and security teams to strengthen infrastructure, performance, and compliance standards
• Develop monitoring solutions, dashboards, alerting systems, and internal tooling to proactively identify and resolve issues

• 5+ years of experience in DevOps, Cloud Infrastructure, or related engineering roles
• Strong hands-on experience with Kubernetes and AWS (or another leading cloud platform) in production environments
• Practical experience managing Docker-based production systems
• Development experience with at least one programming language such as Scala, Java, or Python
• Experience with monitoring and logging platforms such as ELK, Prometheus, or comparable tools
• Knowledge of CI/CD processes and automation tooling
• Solid understanding of distributed systems, scalability, and production-grade architectures
• Independent, proactive mindset with the ability to quickly learn and adapt to new technologies

• Experience working with Kafka, including cluster management and streaming systems
• Familiarity with AI-powered development tools (e.g., coding assistants)

paid 22 days of vacation annually, holidays and sickned days
equipment will be provided